Ep 14 | How LARVOL CLIN Supports Conference Intelligence
15-January-2026
A practical look at how LARVOL CLIN supports conference planning, real-time tracking, and post-conference synthesis—helping teams stay aligned before, during, and after key oncology meetings.
Ep 13 | ASCO GI 2026: From the Floor
09-January-2026
Bruno checks in from the floor at ASCO GI 2026 to share early takeaways. What’s standing out, key signals in the data, and the themes shaping conversations in real time. A short update from inside the meeting.
Ep 12 | ASCO GI Preview: Key GI Oncology Trials and Themes to Watch
02-January-2026
Ahead of ASCO-GI, Bruno and Daniel discuss the GI oncology topics and trials they’re watching, early themes shaping the meeting, and how they’re preparing using LARVOL CONF. A focused pre-conference check-in setting the context for the week ahead.
Ep 11 | Inside LARVOL CONF Online
26-December-2025
Sweta and Bruno walk through LARVOL CONF Online, how it supports planning for oncology conferences, tracking sessions, and organizing insights before and during events. A practical walkthrough of the platform in use.
Ep 10 | SABCS 2025 Takeaways: What’s Next in Breast Cancer Research
18-December-2025
Following #SABCS25, Bruno Larvol and Mark Gramling reflect on key themes from the meeting and discussions at SABCS 2025. A post-conference discussion centered on breast cancer research and emerging data signals.
Ep 9 | Inside #SABCS25: Real-Time Insights
11-December-2025
Bruno and Daniel check in from the floor at #SABCS25 to share what’s standing out, and how they’re following the data in real time. A concise update from inside the conference.
Ep 8 | ASH25 Check-In - Highlights and Early Signals
5-December-2025
Bruno and Daniel check in from #ASH25 to share what’s standing out this year, the studies drawing attention, the early signals worth noting, and how you can use LARVOL tools CLIN & CONF to get the most out of the conference.
Ep 7 | Prepare for ASH 2025 with LARVOL CLIN & CONF
29-November-2025
Bruno Larvol, joined by Kalpana Devi and Sweta Agrawal, discuss how LARVOL CLIN and CONF support planning for ASH 2025.
Ep 6 | Celebrating Oncology Champions on the Times Square
20-November-2025
Bruno joins Shaheer LIVE from Times Square as the LARVOL billboard goes up—celebrating patient advocates, top women oncologists from @ESMO 2025, and this year’s top-performing tigers.
Ep 5 | Live from ESMO AI 2025
17-November-2025
Bruno and Judith join from the floor at #ESMOAI25 to share quick takeaways, early signals, and what’s standing out in real time. A short, direct update from inside the conference as AI and oncology conversations unfold.
Ep 4 | Pre-ESMO AI 2025 Insights
11-November-2025
In this episode of LARVOL Oncology Podcast, Bruno Larvol, along with Daniel J. and David Wilkerson, discusses the Pre-ESMO AI 2025 Insights and AI SoC mapping.
Ep 3 | ESMO 2025 KOL rapid readout
25-October-2025
In this episode of LARVOL Oncology Podcast, Bruno Larvol and Kalpana Devi Narisetty discuss KOL rapid readout and insights from ESMO 2025.
Ep 2 | ESMO 2025 Preview
16-October-2025
In this episode of LARVOL Oncology Podcast, Bruno and Judith join Kalpana from #ESMO25 to share early impressions from the conference, discuss data trends, and reflect on how it continues to shape oncology research and decision-making.
Ep 1 | Pre-ESMO 2025 Insights
10-October-2025
In this episode of LARVOL Oncology Podcast, Shaheer Shaikh and Kalpana Devi Narisetty discuss pre-ESMO 2025 insights.
Ep 12 | Can AI Do Network Meta-Analysis?
16-January-2026
Bruno and Darko discuss whether AI can meaningfully support network meta-analysis. What parts can be automated, where bias and assumptions can creep in, and what still requires careful human judgment. A focused conversation on evidence synthesis in the AI era.
Ep 11 | Statistical vs Clinical Significance
02-January-2026
Bruno and Darko discuss the difference between results that are statistically significant and those that are clinically meaningful, why the gap matters, how it shows up in AI-driven analysis, and what it means for decision-making going forward.
Ep 10 | The Bayesian Persona of AI
27-December-2025
Bruno and Darko revisit the frequentist vs Bayesian debate, this time with a twist. After noticing that many frontier AI models behave with a “Bayesian persona” under the hood, they explore what that means, how it shows up in model behavior, and why it matters when interpreting AI outputs. A short conversation connecting classic statistics to modern models.
Ep 9 | AI in Healthcare: Predictions for 2026 Date: 20-December-2025
20-December-2025
Bruno and Darko discuss where generative AI fits into healthcare today, predictions for 2026, revisit older AI ideas and how they show up in current models. A grounded conversation on what has changed, what hasn’t, and where real value is emerging.
Ep 8 | Network Meta-Analysis in Focus
10-December-2025
Following #SABCS25, Bruno Larvol and Mark Gramling reflect on key themes from the meeting and discussions at SABCS 2025. A post-conference discussion centered on breast cancer research and emerging data signals.
Ep 7 | Frequentist vs Bayesian: A Friendly Deep Dive
28-November-2025
Bruno and Darko take a light, conversational look at the long-running “frequentist vs Bayesian” divide. From Bayes’ unpublished notes to Laplace turning the idea into something bigger. A fun episode touching on how people have argued about probability for centuries and why both approaches still show up in today’s thinking.
Ep 6 | From Fibonacci to the First Clinical Trial
22-November-2025
Bruno and Darko discuss the Fibonacci sequence — from rabbits to the surprising patterns it shaped — before jumping to James Lind’s scurvy experiment, one of history’s first clinical trials. A brief episode tying together math, story, and the roots of evidence-based testing.
Ep 5 | Real-World Noise, Real AI Insights: Live from Times Square
17-November-2025
Darko is joined by Bruno live from Times Square to discuss AI concepts with the real-world chaos of a crowd. They talk about how unpredictable human movement mirrors the way AI models learn from massive datasets. A fast, grounded conversation linking everyday patterns in Times Square to core ideas in machine learning.
Ep 4 | From Roots to Results: Tree-Based Models in Cancer Data
09-November-2025
Bruno and Darko unpack how tree-based models branch out in biostatistics and where they root themselves in real oncology data. A quick and clever look at how AI learns to see the forest and the trees at once.
Ep 3 | Randomization and Data Reliability in Oncology Research
31-October-2025
Bruno and Darko discuss randomization and confounders, two core concepts in clinical research. They explore how study design, data quality, and bias control affect the reliability of trial outcomes, and how AI can help identify or adjust for confounding variables. A direct, practical talk on what truly shapes trustworthy data in oncology research.
Ep 2 | AGI and Oncology
24-October-2025
Bruno and Darko talk about AGI, defining what it is, what current AI systems can actually do, and what remains speculation. They keep the focus on practical implications for oncology and data analysis, separating real capabilities from hype. A straightforward check on where AI stands today and what to expect next.
Ep 1 | How AI and Biostatistics Are Shaping Oncology Research
17-October-2025
Bruno joins from #ESMO25 in Berlin for a discussion with Darko on how AI and biostatistics are shaping oncology research. They talk about data structure, model reliability, and practical ways AI is improving the analysis of clinical trials. A focused conversation on how better data leads to better cancer insights.
